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Decision theory

Known as: Decision science, Statistical decision theory, Choice under uncertainty 
Decision theory (or the theory of choice) is the study of the reasoning underlying an agent's choices. Decision theory can be broken into two… Expand
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Related topics

Related topics

50 relations
AIXIAron KatsenelinboigenBackward inductionBelief–desire–intention software model
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Designing Theory-Driven User-Centric Explainable AI
From healthcare to criminal justice, artificial intelligence (AI) is increasingly supporting high-consequence human decisions… Expand
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Review
2019
Review
2019
A survey of adjustable robust optimization
Static robust optimization (RO) is a methodology to solve mathematical optimization problems with uncertain data. The objective… Expand
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Review
2019
Review
2019
Generalized Dempster–Shafer Structures
  • R. Yager
  • IEEE Transactions on Fuzzy Systems
  • 2019
    • Corpus ID: 67872926
We review the Dempster–Shafer (D–S) belief structure and discuss the measures of plausibility and belief and other measures that… Expand
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Review
2019
Review
2019
Examining Pareto optimality in analytic hierarchy process on real Data: An application in public transport service development
Abstract Recent findings in operations research and decision theory show that the eigenvectors derived from pairwise comparison… Expand
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Review
2018
Review
2018
A Tutorial on Bayesian Optimization
Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It… Expand
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Review
2018
Review
2018
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as… Expand
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Highly Cited
2009
Highly Cited
2009
An Introduction to Decision Theory
This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk… Expand
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Highly Cited
1995
Highly Cited
1995
Introduction to Statistical Decision Theory
The Bayesian revolution in statistics--where statistics is integrated with decision making in areas such as management, public… Expand
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Highly Cited
1995
Highly Cited
1995
A decision-theoretic generalization of on-line learning and an application to boosting
In the first part of the paper we consider the problem of dynamically apportioning resources among a set of options in a worst… Expand
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Highly Cited
1972
Highly Cited
1972
Team decision theory and information structures in optimal control problems--Part II
General dynamic team decision problems with linear information structures and quadratic payoff functions are studied. The… Expand
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